A broad overview of data ingestion best practices for engineers, covering batch vs. real-time streaming methods, common challenges like schema changes and data quality issues, and tool selection criteria including Apache Kafka, AWS Glue, and Fivetran. The post also discusses governance and observability practices, emphasizing data contracts, lineage tracking, and compliance with regulations like GDPR. Decube's platform features are highlighted throughout as solutions to these challenges.
Table of contents
IntroductionDefine Data Ingestion and Its ImportanceExplore Data Ingestion Methods and Use CasesIdentify Challenges in Data Ingestion and SolutionsSelect Effective Data Ingestion Tools and TechnologiesImplement Governance and Observability for Data QualityConclusionFrequently Asked QuestionsList of SourcesSort: